The main objective of the paper is to minimize use conventional generators and optimize fuel cost. To generators, solar thermal power plant (STPP) proposed in this paper. An approach for optimal location STPP also cost, firstly unit commitment (UC) applied generators. Then genetic algorithm (GA) used cost committed suggested method tested on an IEEE 14 bus test system 24 hr. schedule with varia...

This paper addresses the unit commitment (UC) in multi-period combined heat and power (CHP) production planning under the deregulated power market. In CHP plants (units), generation of heat and power follows joint characteristics, which implies that it is difficult to determine the relative cost efficiency of the plants. We introduce in this paper the DRDP-RSC algorithm, which is a dynamic regr...

With the reform of energy structures, high proportion volatile new access makes existing unit commitment (UC) theory unable to satisfy development demands day-ahead market decision-making in power system. Therefore, this paper proposes an intelligent algorithm for solving UC, based on deep reinforcement learning (DRL) technology. Firstly, DRL is used model Markov decision process UC problem, an...

A host of technologies has been developed to achieve these aims of the smart grid. Some of these technologies include plug-in electric vehicle, demand response program, energy storage system and renewable distributed generation. However, the integration of the smart grid technologies in the power system operation studies such as economic emission unit commitment problem causes two major challen...

Optimization of the power system plays a major role in power system planning. Unit Commitment and Economic Dispatching are the most important part of every plant-planning project. Unit Commitment is the problem that searches the economical way for power generation, when the power consumption and altered constraints of the power plants are considered. Recently, the attention of the environmental...

This paper presents a new approach via improved version of genetic algorithm to solve optimal unit commitment (UC) problem. Fast Messy Genetic Algorithm (FMGA) is applied to the calculation of optimal unit commitment problem. The test results demonstrate that not only the FMGA procedure consider is the constraints very well, but also has some advantages, such as good convergence, fast calculati...

In the power system operations, the economic load dispatch of thermal generating system is among one of the most important problems.Recent global inclination towards the utilization of more and more renewable energy makes this problem important than ever. In this work, the economic dispatch of thermal and PV system with battery storage is carried out. Here Unit Commitment (UC) using Dynamic Pro...

We propose a new security measure for commitment protocols, called Universally Composable (UC) Commitment. The measure guarantees that commitment protocols behave like an “ideal commitment service,” even when concurrently composed with an arbitrary set of protocols. This is a strong guarantee: it implies that security is maintained even when an unbounded number of copies of the scheme are runni...

the issue of unit commitment is one of the most important economic plans in power system. in modern and traditional power systems, in addition to being economical of the planning, the issue of security in unit operation is also of great importance. hence power system operation confronts units’ participation and input considering network security constrains. the issue of units’ participation is ...

We present a general framework for constructing non-interactive universally composable (UC) commitmentschemes that are secure against adaptive adversaries in the non-erasure setting under a single re-usable commonreference string. Previously, such “fully-equipped” UC commitment schemes are only known in [8, 9], with anunavoidable overhead of O(κ) in the sense of communication and co...