Optimal economic dispatch for multi heat-electric energy source power system

An optimal economic dispatch model to balancing power and heat demand in a power system incorporating combined heat and power (CHP) units, intermittent energy sources such as wind and solar photovoltaic (PV), and battery energy storage system are proposed. The model is structured to include heat storage tanks and district heating network (DHN) with a goal of increasing the flexibility of CHP units, and satisfying better integration of the energy sources. A bi-level optimization model and its representative mathematical relations are formulated with taking into account the stochastic nature of wind and PV outputs and the storage constraints as well. Furthermore, the formulated relations are optimally solved. So, hybrid particle swarm optimisation (PSO) technique and sequential quadratic programming (SQP) method are applied to provide the optimal power delivered from each energy source. The objective function is formulated in a manner that the social welfare (SW) is maximized. The proposed model is applied to both of modified IEEE 24-bus and IEEE 118-bus test systems and simulated to show to a large extent that the model is real and robust as well as it provides a powerful solution to obtain the global optimal power dispatch. A comparative study is implemented for validation.