A Quantitative Risk-Averse Model for Optimal Management of Multi-Source Standalone Microgrid with Demand Response and Pumped Hydro Storage

High renewable energy integrated standalone microgrid requires greater ramping capabilities from other dispatchable resources to compensate for effects of the intermittent and variability available in system. To address this, a wind-solar-thermal-hydro-coupled multi-source (WSTHcMSSM) considering demand response pumped hydro storage is proposed maximize operating profit get optimal solution generation system by taking advantage multi-resource complementarity. In WSTHcMSSM, we present conditional value-at-credibility (CVaC)-based quantitative risk-averse model uncertain wind solar power thoroughly examining randomness fuzziness characteristics. Additionally, most severe issues caused fluctuation happen during peak load, this paper proposes load partitioning method time-of-use (TOU) shaving. A case study conducted validation method. It found that CVaC can well evaluate uncertainty WSTHcMSSM with integration. efficiently explore potential flexibility complementarity promoting penetration energy.