Multi-objective dynamic generation and transmission expansion planning considering capacitor bank allocation and demand response program constrained to flexible-securable clean energy

Abstract

This paper presents the dynamic generation and transmission expansion planning considering switched capacitor bank allocation and demand response program. This scheme is in the form of four-objective optimization to supply flexible-securable and highly reliable energy. The scheme minimizes the planning costs, expected pollution, expected energy not-supplied, and voltage security index in separate objective functions. It is constrained to network AC power flow equations, operation, reliability, flexibility, network voltage security constraints, capacitor planning model, and demand response operating formulation. Then, the ε constraint-based Pareto optimization technique obtains a single-objective model for the proposed scheme. The unscented transformation method models the uncertainties of load, renewable power, and network equipment availability. To achieve an optimal solution including a low standard deviation in the final response, a hybrid meta-heuristic algorithm is used. This solver is based on merging the firefly algorithm and harmonic search algorithm. Eventually, the scheme is applied to IEEE 6-bus and 118-bus transmission networks. Then, the numerical results confirm the capability of the proposed strategy in improving the operation, reliability, security, and flexibility of the network, as well as enhancing the economic and environmental status.